Computer Science

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Because of the rapid rate of change in the field, students must be well grounded in the basic aspects of computer science and be capable of learning new ideas by following the research and professional literature, and by adapting independently to changes in approaches, languages, and system. Furthermore, they must have experience with computer projects of a realistic scale so as to develop confidence in their ability to think and work independently.

Most of the graduate classes start in mid-afternoon, or later, and some begin in the evening. The exceptions are advanced research seminars. Students who have a job can get a Master's degree in our Program provided they can get some time off in the late afternoon one or two days a week. Probably it will not be possible for a student to obtain a Master's degree by taking classes only after 6PM and fairly unlikely if only taking classes that start at 4:30 or later.

Courses include:
* Numerical Methods
* Compilers
* Modeling and Simulation of Continuous Systems
* Computer Methods in Statistics
* Introduction to Computer Graphics
* Software Engineering
* Proseminar in Computer Science
* Computational Thinking
* Computational Modeling
* Computer Structures
* Advanced Computer Architecture
* Formal Language and Automata
* Foundations of Computer Science
* Numerical Analysis
* Introduction to Data Structures and Algorithms
* Design and Analysis of Data Structures and Algorithms
* Design And Analysis Of Data Structures And Algorithms II
* Programming Languages And Compilers
* Operating Systems Design
* Operating System Theory

In addition to the general admission criteria of the Graduate School, the department requires that applicants to the M.S. program have completed an accredited undergraduate program in Computer Science, or at least taken the core prerequisite courses for the undergraduate degree as listed below: * A substantial background in mathematics * Working knowledge of high level languages, data structures, computer architecture and assembly language, algorithm design and analysis, and some elective courses in advanced undergraduate areasApplicants who have adequate knowledge of the above subjects but who have not completed all academic courses in these areas may show proficiency by obtaining a high score on the GRE Subject Test in Computer Science. All applicants are required to take the aptitude part of the GRE examination (verbal, analytic and mathematical reasoning sections). The Computer Science Subject Test is optional, but highly recommended, particularly for applicants with a non-CS background, or who have been out of school for several years.Criteria for admission currently include: * An academic record * A high score on all the GRE examinations required, and the TOEFL exam in the case of foreign students. * Strong letters of recommendation. * A clear statement, about one page in length, outlining the reasons why the applicant wishes to pursue graduate study in computer science. English Language Requirements TOEFL paper-based test score : 550 TOEFL iBT® test: 79

If you are pursuing a master's degree or professional, terminal degree, Rutgers can help you find fellowships and scholarships to support your advanced study.

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